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2023 International Conference on Smart Computing and Application, ICSCA 2023

作者： Alsaiyari, Muhammad Felemban, Muhamad Saudi Aramco Information Strategy & Technology Planning Div. Dhahran Saudi Arabia Kfupm Computer Engineering Department Dhahran Saudi Arabia

ISBN: (纸本)9798350347050

Vehicle Routing Problem (VRP) is considered one of the most challenging problems with application in several domains, including transportation and logistics distribution. VRP is known to be NP-Hard problem. Several algorithms have been proposed to solve VRP in polynomial time. However, these algorithms are inefficient if the VRP instance increases. Recently, researchers investigated how quantum computing can be used to solve VRP. In particular, two promising variational quantum algorithms have been studied, i.e., Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA). In this paper, we implement both algorithms on IBM Qiskit and compare their evaluation in solving several instances of VRP. We observe that current Noisy-Intermediate Scale Quantum (NISQ) devices cannot solve VRP instances beyond 5 nodes and 2 vehicles. Furthermore, we observe that classical optimizers still provide better results. However, we believe that with the rapid advancement of quantum computing manufacturing, VQE and QAOA can provide better performance as compared to classical computing © 2023 IEEE.

关键词： Vehicles

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Optimal Number of Wires for Circuits on RTLDesigned FPGAs 12

Optimal Number of Wires for Circuits on RTLDesigned FPGAs

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12th International Electrical engineering Congress, iEECON 2024

作者： Sato, Tomoaki Hayashihara, Yuya Yokota, Shione Chivapreecha, Sorawat Moungnoul, Phichet Hokusei Gakuen University Dept. Of Management Information Sapporo Japan Computer Engineering & Consulting Ltd. CyberNEXT Business Div. Kanagawa Japan School Of Engineering King Mongkut's Institute Of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9798350383591

FPGAs (Field-Programmable Gate Arrays) with reconfigurable features are used in various applications. However, circuits on FPGAs are inferior to circuits on ASICs in operating frequency, power consumption, and area. Co-design of FPGA and ASIC is one way to solve this problem. To realize this co-design, RTL-Designed FPGAs have been proposed by the authors. The features of the FPGAs are that they can be described only with HDL and that they can be realized with ordinary standard cells. Therefore, FPGAs and ASICs can be co-designed easily. Until now, the FPGAs have not been considered for optimal wiring count. In this paper, we clarify the optimum number of wires using a 4-bit adder circuit. In addition, cases in which more than that optimal number of wires is needed are discussed. © 2024 IEEE.

关键词： Application specific integrated circuits

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A Time-Series Process Event Log Preprocessing Approach for Data-Intensive and Predictive Operationalization of Smart Factories 24

A Time-Series Process Event Log Preprocessing Approach for D...

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24th International Conference on Advanced Communication Technology, ICACT 2022

作者： Park, Minjae Park, Sohyang Nguyen, Thanh-Hai Pham, DInh-Lam Oh, Dongkeun Kim, Kyoung-Sook Chun, In-Kyoo Kim, Kwanghoon Pio DAELIM UNIVERSITY COLLEGE Div. of Computer Information Gyeonggi Anyang13916 Korea Republic of KYONGGI UNIVERSITY Div. of AI Computer Science Engineering Gyeonggi Suwon16227 Korea Republic of KYONGGI UNIVERSITY Div. of AI Computer Science Engineering Gyeonggi Suwon16227 Korea Republic of Smart Factory Research Institute ICIT Co. Guro Seoul08377 Korea Republic of Smart Factory Research Institute ICIT Co. Guro Seoul08377 Korea Republic of

ISBN: (纸本)9791188428090

This paper proposes a time-series process event log preprocessing approach applied to realize data-intensive and predictive operationalization of IoT-supported smart factories. The advanced conceptual approach of the data-intensive and predictive operationalization processes is newly proposed for effectively and predictively operating very large-scale smart factories that are supported by the Internet of Things platforms with temporal operationalization processes and their time-series event log datasets. The authors' research group is trying to develop a predictive smart factory operationalization system, which is characterized by the advanced conceptual approach, and the starting point of which is at acquiring the time-series process event log datasets with a proper data preprocessing approach. Hence, this paper devises a time-series process event log preprocessing approach with its algorithmic details to arrange the proper datasets to be used for concretizing the data-intensive and predictive operationalization in the very large-scale smart factories. Finally, we develop an XES-formatted event log preprocessing system based upon the devised preprocessing algorithms and apply to a real and nation-wide production smart factory in order to validate the operationality and feasibility of the developed system. © 2022 Global IT Research Institute-GiRI.

关键词： Time series

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Variational Quantum Algorithms for Solving Vehicle Routing Problem

Variational Quantum Algorithms for Solving Vehicle Routing P...

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Smart Computing and Application (ICSCA), International Conference on

作者： Muhammad Alsaiyari Muhamad Felemban Information Strategy & Technology Planning Div. Saudi Aramco Dhahran Saudi Arabia Computer Engineering Department KFUPM Dhahran Saudi Arabia

关键词： Quantum computing Quantum algorithm Vehicle routing Software algorithms Transportation Approximation algorithms Hardware

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Optimal Number of Wires for Circuits on RTLDesigned FPGAs

Optimal Number of Wires for Circuits on RTLDesigned FPGAs

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International Electrical engineering Congress (iEECON)

作者： Tomoaki Sato Yuya Hayashihara Shione Yokota Sorawat Chivapreecha Phichet Moungnoul Dept. of Management Information Hokusei Gakuen University Sappro Japan CyberNEXT Business Div. Computer Engineering & Consulting Ltd. Kanagawa Japan School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

关键词： Wiring Electrical engineering Power demand Wires Circuits Hardware design languages Field programmable gate arrays

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Bayesian modeling of effective and functional brain connectivity using hierarchical vector autoregressions

arXiv

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arXiv 2021年

作者： Wegmann, Bertil Lundquist, Anders Eklund, Anders Villani, Mattias Div. of Statistics and Machine Learning Dept. of Computer and Information Science Linköping University Sweden Umeå University Sweden Div. of Medical Informatics Dept. of Biomedical Engineering Linköping University Sweden Dept. of Statistics Stockholm University Sweden

Analysis of brain connectivity is important for understanding how information is processed by the brain. We propose a novel Bayesian vector autoregression (VAR) hierarchical model for analyzing brain connectivity in a resting-state fMRI data set with autism spectrum disorder (ASD) patients and healthy controls. Our approach models functional and effective connectivity simultaneously, which is new in the VAR literature for brain connectivity, and allows for both group- and single-subject inference as well as group comparisons. We combine analytical marginalization with Hamiltonian Monte Carlo (HMC) to obtain highly efficient posterior sampling. The results from more simplified covariance settings are, in general, overly optimistic about functional connectivity between regions compared to our results. In addition, our modeling of heterogeneous subject-specific covariance matrices is shown to give smaller differences in effective connectivity compared to models with a common covariance matrix to all subjects. © 2021, CC BY.

关键词： Covariance matrix

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Exam wizard: A novel e-assessment system 4

Exam wizard: A novel e-assessment system

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4th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2019

作者： Vomvyras, Duke Andreatos, Antonios Douligeris, Christos University of Piraeus Department of Informatics Piraeus Greece Hellenic Air Force Academy Div. of Computer Engineering and Information Science Dekeleia Attica Greece

ISBN: (纸本)9781728147574

Although a variety of e-assessment systems has been developed during the last fifteen years, yet most of them lack several desirable features which facilitate the process. In this paper the development of an online platform for the e-assessment of higher education courses is presented. The proposed system enables instructors to automatically generate tests using pre-written questions stored in a Database, as well as, automatically grade the tests right after submission. Some additional features include the support of a question types variety, test scheduling scheduling and a timer. © 2019 IEEE.

关键词： Grading

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A Novel Intrusion Detection System Based on Neural Networks

A Novel Intrusion Detection System Based on Neural Networks

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23rd International Conference on Circuits, Systems, Communications and computers, CSCC 2019

作者： Andreatos, Antonios Moussas, Vassilios Div. of Computer Engineering and Information Science Hellenic Air Force Academy Dekeleia Attica Greece Univ. of West Attica School of Engineering Campus 1 Egaleo Athens12210 Greece

This paper proposes a novel intrusion detection system (IDS) based on Artificial Neural Networks (ANNs). The system is still under development. Two types of attacks have been tested so far: DDoS and PortScan. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset show satisfactory performance and superiority in terms of accuracy, detection rate, false alarm rate and time overhead, compared to state of the art existing schemes. © 2019 The Authors, published by EDP Sciences.

关键词： Neural networks

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Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference

arXiv

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arXiv 2020年

作者： Uddin, Zahoor Altaf, Muhammad Bilal, Muhammad Nkenyereye, Lewis Bashir, Ali Kashif COMSATS University Islamabad Wah Campus Pakistan Div. of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies Yongin-si17035 Korea Republic of Department of Computer and Information Security Sejong University Seoul Korea Republic of Department of Computing and Mathematics Manchester Metropolitan University United Kingdom

MSC Codes 68T45, 68T10, 62H30,Owing to small size, sensing capabilities and autonomous nature, the Unmanned Air Vehicles (UAVs) have enormous applications in various areas e.g., remote sensing, navigation, archaeology, journalism, environmental science, and agriculture. However, the un-monitored deployment of UAVs called the amateur drones (AmDr) can lead to serious security threats and risk to human life and infrastructure. Therefore, timely detection of the AmDr is essential for the protection and security of sensitive organizations, human life and other vital infrastructure. AmDrs can be detected using different techniques based on sound, video, thermal, and radio frequencies. However, the performance of these techniques is limited in Copyright © 2020, The Authors. All rights reserved.

关键词： Aircraft detection

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Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

arXiv

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arXiv 2024年

作者： Christodoulou, Evangelia Reinke, Annika Houhou, Rola Kalinowski, Piotr Erkan, Selen Sudre, Carole H. Burgos, Ninon Boutaj, Sofiène Loizillon, Sophie Solal, Maëlys Rieke, Nicola Cheplygina, Veronika Antonelli, Michela Mayer, Leon D. Tizabi, Minu D. Jorge Cardoso, M. Simpson, Amber Jäger, Paul F. Kopp-Schneider, Annette Varoquaux, Gaël Colliot, Olivier Maier-Hein, Lena Heidelberg Div. Intelligent Medical Systems Germany AI Health Innovation Cluster Germany NCT Heidelberg a partnership between DKFZ Heidelberg University Hospital Germany DKFZ Heidelberg Helmholtz Imaging Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Germany DKFZ Heidelberg Interactive Machine Learning Group Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London United Kingdom Sorbonne Université Institut du Cerveau - Paris Brain Institute - ICM CNRS Inria Inserm AP-HP Hôpital de la Pitié-Salpêtrière France NVIDIA Germany Department of Computer Science IT University of Copenhagen Denmark Centre for Medical Image Computing University College London United Kingdom School of Computing Queen’s University Canada Department of Biomedical and Molecular Sciences Queen’s University Canada Division of Biostatistics DKFZ Germany Parietal project team INRIA Saclay-Île de France France Faculty of Mathematics and Computer Science Heidelberg University Germany Medical Faculty Heidelberg University Germany

Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions are simply derived from mean performance values. In this paper, we argue that this common practice is often a misleading simplification as it ignores performance variability. Our contribution is threefold. (1) Analyzing all MICCAI segmentation papers (n = 221) published in 2023, we first observe that more than 50% of papers do not assess performance variability at all. Moreover, only one (0.5%) paper reported confidence intervals (CIs) for model performance. (2) To address the reporting bottleneck, we show that the unreported standard deviation (SD) in segmentation papers can be approximated by a second-order polynomial function of the mean Dice similarity coefficient (DSC). Based on external validation data from 56 previous MICCAI challenges, we demonstrate that this approximation can accurately reconstruct the CI of a method using information provided in publications. (3) Finally, we reconstructed 95% CIs around the mean DSC of MICCAI 2023 segmentation papers. The median CI width was 0.03 which is three times larger than the median performance gap between the first and second ranked method. For more than 60% of papers, the mean performance of the second-ranked method was within the CI of the first-ranked method. We conclude that current publications typically do not provide sufficient evidence to support which models could potentially be translated into clinical practice. © 2024, CC BY.

关键词： Medical imaging

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